Cricket broadcasts constantly talk about pressure, momentum and matchup history, but those ideas usually disappear as commentary rather than becoming reusable data products.
A cricket analytics product that turns pressure, momentum, rivalry and historical context into signals fans can actually explore.
Cricket broadcasts constantly talk about pressure, momentum and matchup history, but those ideas usually disappear as commentary rather than becoming reusable data products.
I treated narrative cricket concepts as product primitives, then designed explicit scoring logic around them instead of asking an LLM to generate opinions.
Eighteen years of cricket data now powers analytical views and daily puzzle experiences, with the product running live through the IPL 2026 season.
A useful AI or analytics product does not begin with a model. It begins by turning a fuzzy expert concept into a repeatable decision or experience.
Open the full architecture, modeling, validation and lessons.